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ease
features
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Description

Annotator is a versatile open source JavaScript library that simplifies the integration of annotation features into any webpage. Users can enhance their annotations with comments, tags, links, and user identifiers, among other capabilities. The library is crafted for straightforward extensibility, making it easy to implement new features or functionalities. Additionally, Annotator cultivates a vibrant community of developers across four continents, who contribute by creating third-party plugins that support annotation for PDFs, EPUBs, videos, images, audio, and beyond. Integrating annotations into a website is a breeze with Annotator; simply download the library and add it to your HTML. The platform boasts a robust plugin architecture, allowing developers to include additional features such as user permissions, tagging, filtering, and text formatting. Over a dozen projects depend on Annotator for their digital annotation requirements, many of which are open source. Furthermore, users can easily share their text and video annotations via social media or email, enhancing collaboration and engagement. Through its extensive capabilities, Annotator empowers users to enrich their online content with meaningful annotations.

Description

LabelMe aims to offer an online platform for annotating images, facilitating the creation of image databases for research in computer vision. By utilizing the annotation tool, users can actively contribute to the growing database. Images can be systematically organized into collections, with the flexibility to create nested collections akin to folders. When a user downloads their database, the organization of collections will reflect this folder structure. Users can also upload images to their collections and annotate them using the LabelMe tool. Furthermore, unlisted collections allow for viewing by anyone with access to the specific URL, although they won't be featured among public folders. Ultimately, LabelMe's objective is to ensure that both images and annotations are made accessible to the research community without any limitations, fostering collaboration and innovation. This commitment to open access highlights the importance of shared resources in advancing computer vision research.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

HTML
JavaScript

Integrations

HTML
JavaScript

Pricing Details

Free
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Annotator

Website

annotatorjs.org

Vendor Details

Company Name

LabelMe

Website

labelme.csail.mit.edu/Release3.0/

Product Features

Product Features

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